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Support for Differential Calculus

Math 1499 is a one-credit studio course that may be taken in conjunction with Math 1551 (Differential Calculus) by students who need extra support in the Precalculus topics used in Calculus. 

All students in Math 1499 should enroll concurrently in Math 1551.  

Some students are required to enroll in Math 1499 based on their Math placement scores, but any student wishing for additional support is welcome to enroll. 

 

Probability and Statistics for Computing and Machine Learning

This 3-credit hour course introduces essential concepts in probability and statistics for students in the Mathematics and Computing undergraduate major.The course focuses on and works toward concepts in probability and statistics that are important for problems in computing and machine learning, such as statistical inference, in particular parameter estimation, and sampling/simulation methods such as Monte Carlo methods.  This is in contrast to topics in hypothesis testing and confidence intervals that may be more important to students in t

Undergraduate Special Topics

The following table contains a list of all undergraduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below. 

Graduate Special Topics

The following table contains a list of all graduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below. 

 

Professional Skills for Mathematics

Professional Skills for Mathematics is an introduction to technical and communication skills utilized in upper level mathematics courses with additional focus on resume building and professional development.

Advanced Analysis

A comprehensive overview of advanced material in analysis. This is a Mother Course with 5 different subtitles; Recommended prerequisites may vary with each offering. 

High-dimensional probability

The goal of this PhD level graduate course is to provide a rigorous introduction to the methods of high-dimensional probability.

College Algebra

Study of the properties of algebraic, exponential, and logarithmic functions as needed for pre-calculus and calculus.

Statistical Theory

This course is an introduction to theoretical statistics for students with a background in probability. A mathematical formalism for inference on experimental data will be developed.

Probability Theory

This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.

MATH 3215, MATH 3235, MATH 3670, and MATH 3740 are mutually exclusive; students may not hold credit for more than one of these courses. 

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